The National Science Foundation Office of Emerging Frontiers and Multidisciplinary Activities awarded $150,000 to Carnegie Mellon University under the Computer and Information Science and Engineering federal grant program (CFDA 47.070) to support the project "COMBINING HUMAN AND MACHINE INTELLIGENCE TO IMPROVE EQUITY AND FAIRNESS IN THE WORK OF MUNICIPAL, PUBLIC SECTOR DECISION MAKING" from October 1, 2021 to September 30, 2022. This Project Grant funding will support Carnegie Mellon...
Carnegie Mellon University was awarded a $738,927 project grant from the National Science Foundation Division of Behavioral and Cognitive Sciences under the Social, Behavioral, and Economic Sciences federal grant program (CFDA 47.075). The three-year project grant, awarded September 1, 2021 and set to be completed by August 31, 2024, will support research toward developing personalized machine learning models, reasoning approaches under data-knowledge symbiosis, and interpretable interaction...
Carnegie Mellon University was awarded a $360,000 project grant from the National Science Foundation Division of Information and Intelligent Systems. The grant is part of the NSF's Computer and Information Science and Engineering program (CFDA 47.070), which supports investigator-initiated research and education in computing, communications, and information science and engineering. Under this award, Carnegie Mellon University will conduct collaborative research on trustworthy and explainable...
Carnegie Mellon University was awarded a $847,832 project grant from the National Science Foundation Division of Research on Learning in Formal and Informal Settings. The grant is part of the NSF's Computer and Information Science and Engineering program (CFDA #47.070), which supports investigator-initiated research and education in computing, communications, and information science and engineering. Under the three-year award beginning October 1, 2021, Carnegie Mellon University will develop...
Carnegie Mellon University was awarded a three-year, $636,000 Project Grant from the National Science Foundation under the Computer and Information Science and Engineering program (CFDA 47.070). The grant will support research titled "COLLABORATIVE RESEARCH: SHF: MEDIUM: HERMES: ON-DEVICE DISTRIBUTED MACHINE LEARNING VIA MODEL-HARDWARE CO-DESIGN." Specifically, Carnegie Mellon University will conduct investigator-initiated research and education in computing and information science...
This $299,998 federal Project Grant award from the National Science Foundation's Computer and Information Science and Engineering (CFDA 47.070) program will support collaborative research at Carnegie Mellon University to develop new big data algorithms that are robust to adversarial input. The key focus areas include: 1) adversarial robustness in black-box and white-box streaming settings, and 2) adaptive data analysis with bounded space. The research team will also explore emerging attack...
This $325,925 federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports the development of a computational framework for addressing data challenges related to fairness in machine learning. The project aims to integrate "model-centric" and "data-centric" approaches to enhance the generalizability, trustworthiness, and fairness of machine learning algorithms, particularly in...
Carnegie Mellon University was awarded a $500,000 Project Grant from the National Science Foundation under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The university will deliver research and education services focused on developing programming language techniques to make Bayesian inference algorithms more usable, accessible and reliable for challenging data science problems. Specifically, the university aims to apply static analysis, type systems...
Carnegie Mellon University was awarded a $193,532 Project Grant from the National Science Foundation Division of Information and Intelligent Systems. The grant is part of the NSF's Social, Behavioral, and Economic Sciences program (CFDA 47.075), which supports basic research and education in these fields. Under the grant, Carnegie Mellon University will conduct research to improve techniques of automatic speech recognition and transfer learning using documentary linguistic corpora. The goal is...
Carnegie Mellon University was awarded a $546,091 Project Grant from the National Science Foundation Division of Computing and Communication Foundations under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The grant will support the development of future-proof test corpus synthesis for evolving software from October 1, 2021 to September 30, 2024. The Computer and Information Science and Engineering program aims to advance computing and informatics...